Users can input their new feed resources for preparing rations
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, ration preparation software to minimize the cost of feed for ruminant livestock such as cattle, sheep, and goats for both milk and meat yield was developed for Web- and Android-based systems using genetic algorithms.
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Key Findings & Data:To maximize accessibility on PCs, smartphones, and tablet PCs, we used Web- and Android-based software to find cheaper feed mixes that satisfy the nutritional requirements of ruminants.
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Conclusion & Impact:Users can input their new feed resources for preparing rations
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Feed · ration preparation · Java
Abstract
In this study, ration preparation software to minimize the cost of feed for ruminant livestock such as cattle, sheep, and goats for both milk and meat yield was developed for Web- and Android-based systems using genetic algorithms. To maximize accessibility on PCs, smartphones, and tablet PCs, we used Web- and Android-based software to find cheaper feed mixes that satisfy the nutritional requirements of ruminants. With this novel system, farmers and scientists can obtain low-cost feed mixes via the Web or smartphones, regardless of time or location. This application is useful for feed producers and farmers because they can use this software from any location and at any time. Users can input their new feed resources for preparing rations
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